Abstract：Synchronizing innovationunveiling the synergy of need-based and curiosity-based experimentation in AI technology adoption for libraries Purpose In the context of libraries adopting artificial intelligenceAItechnologythis paper aims to demonstrate the synergy between two different yet complimentary frameworksneed-based experimentationNBEand curiosity-based experimentationCBEIt looks at how these frameworks interact and operate together to promote technological innovation and innovation in librariesDesignmethodologyapproach The authorsextensive professional experience in the AI adoption and innovation of libraries is drew upon in this paperThe methodology encompasses empirical observations of various libraries engaging in digital innovations through experimentations with AI technology adoption practicesUsing the frameworks of NBE and CBthese observations are examined to find patternsrelationships and mutual reinforcement between the two methodsThe analysis of this study is built on the authorsobservations and real-world case studiesFindings The research reveals that NBE and CBE work together to provide libraries with all-encompassing adoption methods for AI technologyThis study indicates a dynamic interaction between NBE and CBE that boosts librariesmethods for adopting AI technologyNBE acts as a catalyst for CBE by raising awareness of specific library needsprompting librarians to explore AI technologies aligned with those needsThis synergy empowers librarians to creatively experiment with technology solutions that directly address pressing library challengesConverselyCBE fuels NBE by promoting group learning among diverse team members and fostering individual motivation to tackle library needs collaborativelyAs they explore AI technology out of personal curiositylibrarians make important contributions that enhance NBEOriginalityvalue The novel aspect of this study is the recognition of the complementarity between NBE and CBE frameworkswhich suggests that libraries should view them as intertwined rather than two separate approachesFocusing on both methodologies increases the culture of experimentation and improves the problem-solving abilities of librariansInnovation is fueled by controlled experimentation and innate curiosity in an atmosphere that is fostered by the mutual influence of NBE and CBEThis synthesis offers libraries a comprehensive strategy for adopting AI technologyempowering them to manage the shifting environment and realize the revolutionary promise of AI technologiesThe article talks about how the library adopts AI technology through two frameworksNBE and CBEThese frameworks help libraries provide purposeful experiments and exploration driven by curiosity when adopting AI